{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "\n",
    "\n",
    "## Convolutional Neural Networks\n",
    "\n",
    "---\n",
    "\n",
    "In this notebook, we train a CNN to classify images from the CIFAR-10 database.\n",
    "\n",
    "### 1. Load CIFAR-10 Database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import keras\n",
    "from keras.datasets import cifar10\n",
    "\n",
    "# load the pre-shuffled train and test data\n",
    "(x_train, y_train), (x_test, y_test) = cifar10.load_data()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### 2. Visualize the First 24 Training Images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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eUoguzTLwwnTCk6cGR5ZI8fiI7i+EeOkZQ5EuOqLL1Mo8NgfkRe+LdKlBqtLU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\nBCtFiuQh9U9HzLluQOnExfM45FEfONyfDnl21++xEPn2AD9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IXUEGVepK6sLqnF5vaXWO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\nwbTrm1ssM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/O8GLpkKMM5UEhjuR6GaRjKrAM0T0NPNaJzSL8rxOkwpEjmBYZdTQqxMsK0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bi7z+6XZ1LujLN0Tgw3o7Gc1IFxwLnkdeVKERtL0nrr0ovN+S/lcFV29P1glD+Iaa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\naKCjxIHzImJkm7BXsdEkSSAMfQgEuqRew4hsQaRmnaG0oT2Pyy4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CQqheOMPCygWCF15Y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\nOwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b76c940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "fig = plt.figure(figsize=(20,5))\n",
    "for i in range(36):\n",
    "    ax = fig.add_subplot(3, 12, i + 1, xticks=[], yticks=[])\n",
    "    ax.imshow(np.squeeze(x_train[i]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### 3. Rescale the Images by Dividing Every Pixel in Every Image by 255"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# rescale [0,255] --> [0,1]\n",
    "x_train = x_train.astype('float32')/255\n",
    "x_test = x_test.astype('float32')/255"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### 4.  Break Dataset into Training, Testing, and Validation Sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_train shape: (45000, 32, 32, 3)\n",
      "45000 train samples\n",
      "10000 test samples\n",
      "5000 validation samples\n"
     ]
    }
   ],
   "source": [
    "from keras.utils import np_utils\n",
    "\n",
    "# one-hot encode the labels\n",
    "num_classes = len(np.unique(y_train))\n",
    "y_train = keras.utils.to_categorical(y_train, num_classes)\n",
    "y_test = keras.utils.to_categorical(y_test, num_classes)\n",
    "\n",
    "# break training set into training and validation sets\n",
    "(x_train, x_valid) = x_train[5000:], x_train[:5000]\n",
    "(y_train, y_valid) = y_train[5000:], y_train[:5000]\n",
    "\n",
    "# print shape of training set\n",
    "print('x_train shape:', x_train.shape)\n",
    "\n",
    "# print number of training, validation, and test images\n",
    "print(x_train.shape[0], 'train samples')\n",
    "print(x_test.shape[0], 'test samples')\n",
    "print(x_valid.shape[0], 'validation samples')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### 5. Define the Model Architecture "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_1 (Conv2D)            (None, 32, 32, 16)        208       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 16, 16, 16)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 16, 16, 32)        2080      \n",
      "_________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2 (None, 8, 8, 32)          0         \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 8, 8, 64)          8256      \n",
      "_________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2 (None, 4, 4, 64)          0         \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 4, 4, 64)          0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 1024)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 500)               512500    \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 500)               0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 10)                5010      \n",
      "=================================================================\n",
      "Total params: 528,054\n",
      "Trainable params: 528,054\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Dropout\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Conv2D(filters=16, kernel_size=2, padding='same', activation='relu', \n",
    "                        input_shape=(32, 32, 3)))\n",
    "model.add(MaxPooling2D(pool_size=2))\n",
    "model.add(Conv2D(filters=32, kernel_size=2, padding='same', activation='relu'))\n",
    "model.add(MaxPooling2D(pool_size=2))\n",
    "model.add(Conv2D(filters=64, kernel_size=2, padding='same', activation='relu'))\n",
    "model.add(MaxPooling2D(pool_size=2))\n",
    "model.add(Dropout(0.3))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(500, activation='relu'))\n",
    "model.add(Dropout(0.4))\n",
    "model.add(Dense(10, activation='softmax'))\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### 6. Compile the Model "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# compile the model\n",
    "model.compile(loss='categorical_crossentropy', optimizer='rmsprop', \n",
    "                  metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### 7. Train the Model "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 45000 samples, validate on 5000 samples\n",
      "Epoch 1/100\n",
      "Epoch 00000: val_loss improved from inf to 1.35820, saving model to model.weights.best.hdf5\n",
      "46s - loss: 1.6192 - acc: 0.4140 - val_loss: 1.3582 - val_acc: 0.5166\n",
      "Epoch 2/100\n",
      "Epoch 00001: val_loss improved from 1.35820 to 1.22245, saving model to model.weights.best.hdf5\n",
      "53s - loss: 1.2881 - acc: 0.5402 - val_loss: 1.2224 - val_acc: 0.5644\n",
      "Epoch 3/100\n",
      "Epoch 00002: val_loss improved from 1.22245 to 1.12096, saving model to model.weights.best.hdf5\n",
      "49s - loss: 1.1630 - acc: 0.5879 - val_loss: 1.1210 - val_acc: 0.6046\n",
      "Epoch 4/100\n",
      "Epoch 00003: val_loss improved from 1.12096 to 1.10724, saving model to model.weights.best.hdf5\n",
      "56s - loss: 1.0928 - acc: 0.6160 - val_loss: 1.1072 - val_acc: 0.6134\n",
      "Epoch 5/100\n",
      "Epoch 00004: val_loss improved from 1.10724 to 0.97377, saving model to model.weights.best.hdf5\n",
      "52s - loss: 1.0413 - acc: 0.6382 - val_loss: 0.9738 - val_acc: 0.6596\n",
      "Epoch 6/100\n",
      "Epoch 00005: val_loss improved from 0.97377 to 0.95501, saving model to model.weights.best.hdf5\n",
      "50s - loss: 1.0090 - acc: 0.6484 - val_loss: 0.9550 - val_acc: 0.6768\n",
      "Epoch 7/100\n",
      "Epoch 00006: val_loss improved from 0.95501 to 0.94448, saving model to model.weights.best.hdf5\n",
      "49s - loss: 0.9967 - acc: 0.6561 - val_loss: 0.9445 - val_acc: 0.6828\n",
      "Epoch 8/100\n",
      "Epoch 00007: val_loss did not improve\n",
      "61s - loss: 0.9934 - acc: 0.6604 - val_loss: 1.1300 - val_acc: 0.6376\n",
      "Epoch 9/100\n",
      "Epoch 00008: val_loss improved from 0.94448 to 0.91779, saving model to model.weights.best.hdf5\n",
      "49s - loss: 0.9858 - acc: 0.6672 - val_loss: 0.9178 - val_acc: 0.6882\n",
      "Epoch 10/100\n",
      "Epoch 00009: val_loss did not improve\n",
      "50s - loss: 0.9839 - acc: 0.6658 - val_loss: 0.9669 - val_acc: 0.6748\n",
      "Epoch 11/100\n",
      "Epoch 00010: val_loss improved from 0.91779 to 0.91570, saving model to model.weights.best.hdf5\n",
      "49s - loss: 1.0002 - acc: 0.6624 - val_loss: 0.9157 - val_acc: 0.6936\n",
      "Epoch 12/100\n",
      "Epoch 00011: val_loss did not improve\n",
      "54s - loss: 1.0001 - acc: 0.6659 - val_loss: 1.1442 - val_acc: 0.6646\n",
      "Epoch 13/100\n",
      "Epoch 00012: val_loss did not improve\n",
      "56s - loss: 1.0161 - acc: 0.6633 - val_loss: 0.9702 - val_acc: 0.6788\n",
      "Epoch 14/100\n",
      "Epoch 00013: val_loss did not improve\n",
      "46s - loss: 1.0316 - acc: 0.6568 - val_loss: 0.9937 - val_acc: 0.6766\n",
      "Epoch 15/100\n",
      "Epoch 00014: val_loss did not improve\n",
      "54s - loss: 1.0412 - acc: 0.6525 - val_loss: 1.1574 - val_acc: 0.6190\n",
      "Epoch 16/100\n",
      "Epoch 00015: val_loss did not improve\n",
      "55s - loss: 1.0726 - acc: 0.6462 - val_loss: 1.0492 - val_acc: 0.6790\n",
      "Epoch 17/100\n",
      "Epoch 00016: val_loss did not improve\n",
      "48s - loss: 1.0891 - acc: 0.6387 - val_loss: 1.0739 - val_acc: 0.6528\n",
      "Epoch 18/100\n",
      "Epoch 00017: val_loss did not improve\n",
      "46s - loss: 1.1152 - acc: 0.6337 - val_loss: 1.0672 - val_acc: 0.6610\n",
      "Epoch 19/100\n",
      "Epoch 00018: val_loss did not improve\n",
      "47s - loss: 1.1392 - acc: 0.6258 - val_loss: 1.5400 - val_acc: 0.5742\n",
      "Epoch 20/100\n",
      "Epoch 00019: val_loss did not improve\n",
      "47s - loss: 1.1565 - acc: 0.6207 - val_loss: 1.0309 - val_acc: 0.6636\n",
      "Epoch 21/100\n",
      "Epoch 00020: val_loss did not improve\n",
      "44s - loss: 1.1711 - acc: 0.6159 - val_loss: 1.4559 - val_acc: 0.5736\n",
      "Epoch 22/100\n",
      "Epoch 00021: val_loss did not improve\n",
      "44s - loss: 1.1802 - acc: 0.6132 - val_loss: 1.1716 - val_acc: 0.6288\n",
      "Epoch 23/100\n",
      "Epoch 00022: val_loss did not improve\n",
      "44s - loss: 1.2012 - acc: 0.6033 - val_loss: 1.3916 - val_acc: 0.6222\n",
      "Epoch 24/100\n",
      "Epoch 00023: val_loss did not improve\n",
      "47s - loss: 1.2319 - acc: 0.5964 - val_loss: 1.5698 - val_acc: 0.5688\n",
      "Epoch 25/100\n",
      "Epoch 00024: val_loss did not improve\n",
      "50s - loss: 1.2479 - acc: 0.5914 - val_loss: 1.2740 - val_acc: 0.6038\n",
      "Epoch 26/100\n",
      "Epoch 00025: val_loss did not improve\n",
      "58s - loss: 1.2616 - acc: 0.5870 - val_loss: 1.2803 - val_acc: 0.5496\n",
      "Epoch 27/100\n",
      "Epoch 00026: val_loss did not improve\n",
      "57s - loss: 1.2908 - acc: 0.5792 - val_loss: 1.0756 - val_acc: 0.6432\n",
      "Epoch 28/100\n",
      "Epoch 00027: val_loss did not improve\n",
      "55s - loss: 1.3248 - acc: 0.5667 - val_loss: 1.2289 - val_acc: 0.5800\n",
      "Epoch 29/100\n",
      "Epoch 00028: val_loss did not improve\n",
      "57s - loss: 1.3258 - acc: 0.5633 - val_loss: 1.3088 - val_acc: 0.5756\n",
      "Epoch 30/100\n",
      "Epoch 00029: val_loss did not improve\n",
      "46s - loss: 1.3381 - acc: 0.5586 - val_loss: 1.2569 - val_acc: 0.6044\n",
      "Epoch 31/100\n",
      "Epoch 00030: val_loss did not improve\n",
      "55s - loss: 1.3507 - acc: 0.5545 - val_loss: 1.3436 - val_acc: 0.5562\n",
      "Epoch 32/100\n",
      "Epoch 00031: val_loss did not improve\n",
      "61s - loss: 1.3643 - acc: 0.5513 - val_loss: 1.2951 - val_acc: 0.5646\n",
      "Epoch 33/100\n",
      "Epoch 00032: val_loss did not improve\n",
      "69s - loss: 1.3873 - acc: 0.5426 - val_loss: 1.4049 - val_acc: 0.6066\n",
      "Epoch 34/100\n",
      "Epoch 00033: val_loss did not improve\n",
      "53s - loss: 1.3842 - acc: 0.5415 - val_loss: 1.8164 - val_acc: 0.5640\n",
      "Epoch 35/100\n",
      "Epoch 00034: val_loss did not improve\n",
      "48s - loss: 1.4187 - acc: 0.5303 - val_loss: 1.7554 - val_acc: 0.5616\n",
      "Epoch 36/100\n",
      "Epoch 00035: val_loss did not improve\n",
      "57s - loss: 1.4278 - acc: 0.5268 - val_loss: 1.9956 - val_acc: 0.5072\n",
      "Epoch 37/100\n",
      "Epoch 00036: val_loss did not improve\n",
      "58s - loss: 1.4365 - acc: 0.5216 - val_loss: 1.8344 - val_acc: 0.4748\n",
      "Epoch 38/100\n",
      "Epoch 00037: val_loss did not improve\n",
      "64s - loss: 1.4529 - acc: 0.5205 - val_loss: 1.2752 - val_acc: 0.5690\n",
      "Epoch 39/100\n",
      "Epoch 00038: val_loss did not improve\n",
      "62s - loss: 1.4726 - acc: 0.5111 - val_loss: 1.7092 - val_acc: 0.5600\n",
      "Epoch 40/100\n",
      "Epoch 00039: val_loss did not improve\n",
      "70s - loss: 1.4673 - acc: 0.5107 - val_loss: 1.2288 - val_acc: 0.5698\n",
      "Epoch 41/100\n",
      "Epoch 00040: val_loss did not improve\n",
      "68s - loss: 1.4872 - acc: 0.5083 - val_loss: 1.4082 - val_acc: 0.5162\n",
      "Epoch 42/100\n",
      "Epoch 00041: val_loss did not improve\n",
      "69s - loss: 1.4983 - acc: 0.5003 - val_loss: 1.5808 - val_acc: 0.4818\n",
      "Epoch 43/100\n",
      "Epoch 00042: val_loss did not improve\n",
      "79s - loss: 1.5211 - acc: 0.4957 - val_loss: 1.2271 - val_acc: 0.5882\n",
      "Epoch 44/100\n",
      "Epoch 00043: val_loss did not improve\n",
      "95s - loss: 1.5474 - acc: 0.4867 - val_loss: 3.7681 - val_acc: 0.3394\n",
      "Epoch 45/100\n",
      "Epoch 00044: val_loss did not improve\n",
      "80s - loss: 1.5432 - acc: 0.4854 - val_loss: 1.3349 - val_acc: 0.5830\n",
      "Epoch 46/100\n",
      "Epoch 00045: val_loss did not improve\n",
      "63s - loss: 1.5615 - acc: 0.4785 - val_loss: 1.4494 - val_acc: 0.5332\n",
      "Epoch 47/100\n",
      "Epoch 00046: val_loss did not improve\n",
      "47s - loss: 1.5731 - acc: 0.4752 - val_loss: 1.4689 - val_acc: 0.4648\n",
      "Epoch 48/100\n",
      "Epoch 00047: val_loss did not improve\n",
      "49s - loss: 1.5832 - acc: 0.4694 - val_loss: 1.6045 - val_acc: 0.3992\n",
      "Epoch 49/100\n",
      "Epoch 00048: val_loss did not improve\n",
      "50s - loss: 1.6000 - acc: 0.4670 - val_loss: 3.0627 - val_acc: 0.3648\n",
      "Epoch 50/100\n",
      "Epoch 00049: val_loss did not improve\n",
      "73s - loss: 1.5988 - acc: 0.4655 - val_loss: 1.4299 - val_acc: 0.5020\n",
      "Epoch 51/100\n",
      "Epoch 00050: val_loss did not improve\n",
      "52s - loss: 1.6025 - acc: 0.4623 - val_loss: 1.6269 - val_acc: 0.4766\n",
      "Epoch 52/100\n",
      "Epoch 00051: val_loss did not improve\n",
      "53s - loss: 1.6104 - acc: 0.4601 - val_loss: 1.4260 - val_acc: 0.5390\n",
      "Epoch 53/100\n",
      "Epoch 00052: val_loss did not improve\n",
      "51s - loss: 1.6203 - acc: 0.4569 - val_loss: 1.3396 - val_acc: 0.5366\n",
      "Epoch 54/100\n",
      "Epoch 00053: val_loss did not improve\n",
      "50s - loss: 1.6354 - acc: 0.4500 - val_loss: 1.6159 - val_acc: 0.4512\n",
      "Epoch 55/100\n",
      "Epoch 00054: val_loss did not improve\n",
      "53s - loss: 1.6552 - acc: 0.4433 - val_loss: 1.7258 - val_acc: 0.4468\n",
      "Epoch 56/100\n",
      "Epoch 00055: val_loss did not improve\n",
      "47s - loss: 1.6696 - acc: 0.4363 - val_loss: 1.4365 - val_acc: 0.4938\n",
      "Epoch 57/100\n",
      "Epoch 00056: val_loss did not improve\n",
      "46s - loss: 1.6605 - acc: 0.4368 - val_loss: 2.5907 - val_acc: 0.3732\n",
      "Epoch 58/100\n",
      "Epoch 00057: val_loss did not improve\n",
      "50s - loss: 1.6720 - acc: 0.4336 - val_loss: 1.5503 - val_acc: 0.4274\n",
      "Epoch 59/100\n",
      "Epoch 00058: val_loss did not improve\n",
      "68s - loss: 1.6897 - acc: 0.4281 - val_loss: 1.5233 - val_acc: 0.4362\n",
      "Epoch 60/100\n",
      "Epoch 00059: val_loss did not improve\n",
      "73s - loss: 1.7099 - acc: 0.4201 - val_loss: 1.4141 - val_acc: 0.5124\n",
      "Epoch 61/100\n",
      "Epoch 00060: val_loss did not improve\n",
      "71s - loss: 1.7182 - acc: 0.4182 - val_loss: 1.5190 - val_acc: 0.4486\n",
      "Epoch 62/100\n",
      "Epoch 00061: val_loss did not improve\n",
      "72s - loss: 1.7177 - acc: 0.4179 - val_loss: 1.4966 - val_acc: 0.4860\n",
      "Epoch 63/100\n",
      "Epoch 00062: val_loss did not improve\n",
      "59s - loss: 1.7079 - acc: 0.4228 - val_loss: 1.6089 - val_acc: 0.4384\n",
      "Epoch 64/100\n",
      "Epoch 00063: val_loss did not improve\n",
      "50s - loss: 1.7101 - acc: 0.4147 - val_loss: 1.6014 - val_acc: 0.4430\n",
      "Epoch 65/100\n",
      "Epoch 00064: val_loss did not improve\n",
      "49s - loss: 1.7180 - acc: 0.4144 - val_loss: 2.2502 - val_acc: 0.3712\n",
      "Epoch 66/100\n",
      "Epoch 00065: val_loss did not improve\n",
      "50s - loss: 1.7190 - acc: 0.4140 - val_loss: 1.3967 - val_acc: 0.4964\n",
      "Epoch 67/100\n",
      "Epoch 00066: val_loss did not improve\n",
      "50s - loss: 1.7262 - acc: 0.4082 - val_loss: 1.5334 - val_acc: 0.4650\n",
      "Epoch 68/100\n",
      "Epoch 00067: val_loss did not improve\n",
      "50s - loss: 1.7432 - acc: 0.4032 - val_loss: 1.7911 - val_acc: 0.3588\n",
      "Epoch 69/100\n",
      "Epoch 00068: val_loss did not improve\n",
      "50s - loss: 1.7309 - acc: 0.4054 - val_loss: 1.6592 - val_acc: 0.3892\n",
      "Epoch 70/100\n",
      "Epoch 00069: val_loss did not improve\n",
      "50s - loss: 1.7581 - acc: 0.3977 - val_loss: 1.6551 - val_acc: 0.4056\n",
      "Epoch 71/100\n",
      "Epoch 00070: val_loss did not improve\n",
      "50s - loss: 1.7619 - acc: 0.3930 - val_loss: 1.5855 - val_acc: 0.4670\n",
      "Epoch 72/100\n",
      "Epoch 00071: val_loss did not improve\n",
      "55s - loss: 1.7690 - acc: 0.3918 - val_loss: 1.5534 - val_acc: 0.4350\n",
      "Epoch 73/100\n",
      "Epoch 00072: val_loss did not improve\n",
      "77s - loss: 1.7910 - acc: 0.3890 - val_loss: 1.5390 - val_acc: 0.4692\n",
      "Epoch 74/100\n",
      "Epoch 00073: val_loss did not improve\n",
      "68s - loss: 1.7941 - acc: 0.3853 - val_loss: 1.4875 - val_acc: 0.4764\n",
      "Epoch 75/100\n",
      "Epoch 00074: val_loss did not improve\n",
      "71s - loss: 1.8069 - acc: 0.3816 - val_loss: 1.6594 - val_acc: 0.3990\n",
      "Epoch 76/100\n",
      "Epoch 00075: val_loss did not improve\n",
      "63s - loss: 1.8160 - acc: 0.3776 - val_loss: 1.6119 - val_acc: 0.3804\n",
      "Epoch 77/100\n",
      "Epoch 00076: val_loss did not improve\n",
      "52s - loss: 1.8073 - acc: 0.3793 - val_loss: 1.5836 - val_acc: 0.4578\n",
      "Epoch 78/100\n",
      "Epoch 00077: val_loss did not improve\n",
      "72s - loss: 1.8185 - acc: 0.3731 - val_loss: 1.6415 - val_acc: 0.4004\n",
      "Epoch 79/100\n",
      "Epoch 00078: val_loss did not improve\n",
      "78s - loss: 1.8229 - acc: 0.3724 - val_loss: 1.7005 - val_acc: 0.3834\n",
      "Epoch 80/100\n",
      "Epoch 00079: val_loss did not improve\n",
      "61s - loss: 1.8316 - acc: 0.3664 - val_loss: 1.8900 - val_acc: 0.2996\n",
      "Epoch 81/100\n",
      "Epoch 00080: val_loss did not improve\n",
      "50s - loss: 1.8274 - acc: 0.3656 - val_loss: 1.6902 - val_acc: 0.3794\n",
      "Epoch 82/100\n",
      "Epoch 00081: val_loss did not improve\n",
      "50s - loss: 1.8448 - acc: 0.3609 - val_loss: 1.9591 - val_acc: 0.3094\n",
      "Epoch 83/100\n",
      "Epoch 00082: val_loss did not improve\n",
      "48s - loss: 1.8468 - acc: 0.3566 - val_loss: 1.6827 - val_acc: 0.4108\n",
      "Epoch 84/100\n",
      "Epoch 00083: val_loss did not improve\n",
      "48s - loss: 1.9039 - acc: 0.3516 - val_loss: 1.5814 - val_acc: 0.4456\n",
      "Epoch 85/100\n",
      "Epoch 00084: val_loss did not improve\n",
      "68s - loss: 1.8499 - acc: 0.3550 - val_loss: 1.8199 - val_acc: 0.3736\n",
      "Epoch 86/100\n",
      "Epoch 00085: val_loss did not improve\n",
      "77s - loss: 1.8404 - acc: 0.3556 - val_loss: 1.7326 - val_acc: 0.3518\n",
      "Epoch 87/100\n",
      "Epoch 00086: val_loss did not improve\n",
      "59s - loss: 1.8509 - acc: 0.3513 - val_loss: 1.6321 - val_acc: 0.4042\n",
      "Epoch 88/100\n",
      "Epoch 00087: val_loss did not improve\n",
      "51s - loss: 1.8580 - acc: 0.3502 - val_loss: 2.8168 - val_acc: 0.3208\n",
      "Epoch 89/100\n",
      "Epoch 00088: val_loss did not improve\n",
      "60s - loss: 1.8760 - acc: 0.3392 - val_loss: 1.6616 - val_acc: 0.4156\n",
      "Epoch 90/100\n",
      "Epoch 00089: val_loss did not improve\n",
      "61s - loss: 1.8682 - acc: 0.3462 - val_loss: 1.6725 - val_acc: 0.3900\n",
      "Epoch 91/100\n",
      "Epoch 00090: val_loss did not improve\n",
      "57s - loss: 1.8900 - acc: 0.3312 - val_loss: 1.6851 - val_acc: 0.3424\n",
      "Epoch 92/100\n",
      "Epoch 00091: val_loss did not improve\n",
      "54s - loss: 1.8889 - acc: 0.3363 - val_loss: 1.6296 - val_acc: 0.4230\n",
      "Epoch 93/100\n",
      "Epoch 00092: val_loss did not improve\n",
      "56s - loss: 1.9040 - acc: 0.3343 - val_loss: 1.7510 - val_acc: 0.3306\n",
      "Epoch 94/100\n",
      "Epoch 00093: val_loss did not improve\n",
      "50s - loss: 1.9041 - acc: 0.3266 - val_loss: 1.7218 - val_acc: 0.3582\n",
      "Epoch 95/100\n",
      "Epoch 00094: val_loss did not improve\n",
      "48s - loss: 1.8978 - acc: 0.3224 - val_loss: 1.6739 - val_acc: 0.3970\n",
      "Epoch 96/100\n",
      "Epoch 00095: val_loss did not improve\n",
      "48s - loss: 1.9173 - acc: 0.3180 - val_loss: 1.7337 - val_acc: 0.3526\n",
      "Epoch 97/100\n",
      "Epoch 00096: val_loss did not improve\n",
      "48s - loss: 1.9016 - acc: 0.3204 - val_loss: 1.7351 - val_acc: 0.3452\n",
      "Epoch 98/100\n",
      "Epoch 00097: val_loss did not improve\n",
      "48s - loss: 1.9117 - acc: 0.3170 - val_loss: 2.2827 - val_acc: 0.2592\n",
      "Epoch 99/100\n",
      "Epoch 00098: val_loss did not improve\n",
      "48s - loss: 1.9319 - acc: 0.3049 - val_loss: 2.9560 - val_acc: 0.3060\n",
      "Epoch 100/100\n",
      "Epoch 00099: val_loss did not improve\n",
      "48s - loss: 1.9390 - acc: 0.3070 - val_loss: 1.9106 - val_acc: 0.3102\n"
     ]
    }
   ],
   "source": [
    "from keras.callbacks import ModelCheckpoint   \n",
    "\n",
    "# train the model\n",
    "checkpointer = ModelCheckpoint(filepath='model.weights.best.hdf5', verbose=1, \n",
    "                               save_best_only=True)\n",
    "hist = model.fit(x_train, y_train, batch_size=32, epochs=100,\n",
    "          validation_data=(x_valid, y_valid), callbacks=[checkpointer], \n",
    "          verbose=2, shuffle=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### 8. Load the Model with the Best Validation Accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# load the weights that yielded the best validation accuracy\n",
    "model.load_weights('model.weights.best.hdf5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### 9. Calculate Classification Accuracy on Test Set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Test accuracy: 0.68\n"
     ]
    }
   ],
   "source": [
    "# evaluate and print test accuracy\n",
    "score = model.evaluate(x_test, y_test, verbose=0)\n",
    "print('\\n', 'Test accuracy:', score[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### 10. Visualize Some Predictions\n",
    "\n",
    "This may give you some insight into why the network is misclassifying certain objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# get predictions on the test set\n",
    "y_hat = model.predict(x_test)\n",
    "\n",
    "# define text labels (source: https://www.cs.toronto.edu/~kriz/cifar.html)\n",
    "cifar10_labels = ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6fsuPEjOwG+F5Btm0e/igyX0c/y7cQiIQ329iFFWWiDBDiijgDWkrZqbUPfpi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ZnnurC4yPJ3ke77uYcfSuK2SK+mxiNpy/VYcO35hPcezVjrW5D1UkqyeK0TWqpKbkoFXrvm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\n/+Ccc+4bLzyavf7EMaFrHlP6PCJLw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hXdk/Yd3Yfb7e59mysIY0tiJXyVE82VHz+utuUW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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x123907eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot a random sample of test images, their predicted labels, and ground truth\n",
    "fig = plt.figure(figsize=(20, 8))\n",
    "for i, idx in enumerate(np.random.choice(x_test.shape[0], size=32, replace=False)):\n",
    "    ax = fig.add_subplot(4, 8, i + 1, xticks=[], yticks=[])\n",
    "    ax.imshow(np.squeeze(x_test[idx]))\n",
    "    pred_idx = np.argmax(y_hat[idx])\n",
    "    true_idx = np.argmax(y_test[idx])\n",
    "    ax.set_title(\"{} ({})\".format(cifar10_labels[pred_idx], cifar10_labels[true_idx]),\n",
    "                 color=(\"green\" if pred_idx == true_idx else \"red\"))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
